The role of cause-effect link within scientific paper

Cao, Mengyun; Sun, Xiaoping and Zhuge, Hai (2017). The role of cause-effect link within scientific paper. IN: Proceedings - 2016 12th International Conference on Semantics, Knowledge and Grids, SKG 2016. Zhuge, Hai and Sun, Xiaoping (eds) Piscataway, NJ (US): IEEE.

Abstract

Semantic links within text play an important role in understanding text. Cause-effect link is one of the basic semantic links that represents logic order between representation components of text. The importance of cause-effect link has been recognized and investigated in linguistics, but it has not been accurately measured to support computing applications. This paper is to investigate the role of cause-effect link within scientific paper. Research is conducted along two paths: (1) Human observations: Professionals find cause-effect links within a set of given papers, and then observe the number, the distribution and the keywords coverage of cause-effect links within each paper. The statistical results show that cause-effect links cover 76% keywords within paper on average. (2) Automatically discover more cause-effect links within a set of papers by developing a pattern-based algorithm. The automatically discovered cause-effect links validate the properties drawn from human observations. Experiments show that the algorithm can extract more than 80% of manually labeled links, and the automatically extracted links contain 75% of keywords within paper on average.

Publication DOI: https://doi.org/10.1109/SKG.2016.013
Divisions: Engineering & Applied Sciences > Computer science
Additional Information: -
Event Title: 12th International Conference on Semantics, Knowledge and Grids, SKG 2016
Event Type: Other
Event Dates: 2016-08-15 - 2016-08-17
Uncontrolled Keywords: causal relation,cause-effect link,natural language understanding,semantic link,semantic link network,Artificial Intelligence,Computational Theory and Mathematics,Computer Networks and Communications
Published Date: 2017-01-11

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